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SNPs3D: Candidate gene and SNP selection for association studies

Overview of attention for article published in BMC Bioinformatics, March 2006
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Mentioned by

patent
1 patent

Citations

dimensions_citation
377 Dimensions

Readers on

mendeley
281 Mendeley
citeulike
9 CiteULike
connotea
3 Connotea
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Title
SNPs3D: Candidate gene and SNP selection for association studies
Published in
BMC Bioinformatics, March 2006
DOI 10.1186/1471-2105-7-166
Pubmed ID
Authors

Peng Yue, Eugene Melamud, John Moult

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 281 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 3%
Germany 5 2%
United Kingdom 5 2%
Spain 5 2%
Argentina 3 1%
Sweden 1 <1%
Italy 1 <1%
Korea, Republic of 1 <1%
France 1 <1%
Other 7 2%
Unknown 243 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 69 25%
Researcher 62 22%
Student > Master 35 12%
Professor > Associate Professor 25 9%
Student > Bachelor 15 5%
Other 46 16%
Unknown 29 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 123 44%
Biochemistry, Genetics and Molecular Biology 58 21%
Computer Science 23 8%
Medicine and Dentistry 14 5%
Chemistry 6 2%
Other 24 9%
Unknown 33 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 July 2009.
All research outputs
#7,550,598
of 23,035,022 outputs
Outputs from BMC Bioinformatics
#3,042
of 7,318 outputs
Outputs of similar age
#23,598
of 67,051 outputs
Outputs of similar age from BMC Bioinformatics
#26
of 60 outputs
Altmetric has tracked 23,035,022 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,318 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 67,051 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.